Supply Chain Analyst, Planning & Systems

This role may be a good fit if you are an experienced Supply and Demand Planning Program Manager with domain-level depth in supply planning processes, supply chain planning systems and master data. This role is the business owner of the planning and procurement system stack, covering advanced planning systems like o9, product lifecycle management, procurement, EDI integrations, and the reporting layer on top of them. Every planner, every region, and every forecast depends on that stack and the master data behind it, and you own its configuration, governance, availability, and enhancement roadmap.

The role carries three mandates. You keep the stack configured, governed, and available for the planning and procurement user base. You drive asset utilization upward so demand is met from the existing fleet before it is met with new buy, owning the utilization baseline, the targets, and the improvement narrative. And you operationalize new and 0-1 businesses into the standard planning and procurement model rather than letting them run as permanent exceptions. At this level you are expected to advocate for the stack you own with data-backed recommendations and stakeholder alignment with an expert end-to-end understanding of it, to build solutions that are extensible and in use by others, to influence technical design outcomes across the teams that depend on it, to prioritize across three distinct customer groups without authority over any of them, and to close the definitional gaps in your own charter. Parts of this scope are not yet defined, including scope areas that will require you to define milestones, clarify ownership, and establish metric targets. Bringing structure where there is none is the job, not a precondition for it.

Responsibilities

Own the planning and procurement system stack as the business owner, covering configuration, solution design, system enhancements, release and regression testing, and day-to-day operational support for the planning and procurement user base Own planning attribute and master data governance, including item and part attributes, planning parameters, sourcing rules, calendars, substitutions, and item pools, which are the definitions every forecast, planning run, and purchase order depends on Own system availability for the planning function, including incident intake, triage and resolution, integration monitoring across procurement and system handoffs, the escalation path to vendors and internal platform teams, and downtime and root-cause reporting Develop the hardware fleet governance metrics, baseline, and targets, and own the utilization improvement program end to end, including position and utilization reporting by category, region, and tier, identification of idle, under-used, and recoverable inventory, and redeployment ahead of new buy Own the planning and procurement on-ramp for new and 0-1 programs: assess the demand profile, define the planning approach and sourcing path, stand up the interim model, then integrate it into standard catalog, planning, and procurement practice with a committed date by which it becomes standard Own change control for the planning stack so that no configuration or attribute change goes live without testing, sign-off, and documentation, and maintain system SOPs and user training materials Run a single intake for planning-system enhancement requests from regional planners, demand planning, and lifecycle, maintain the prioritized backlog, and set and hold delivery expectations Deliver the advanced planning system migration from the business side, including requirements, configuration, data readiness, and user adoption Surface integration failures, data-quality breaks, and migration slippage to leadership first, with a mitigation already in motion

Qualifications

Bachelor's degree in a directly related field, or equivalent practical experience Bachelor's degree in a supply chain-related field or equivalent experience Domain expertise in supply chain planning operations and procurement systems, including 7+ years of owning planning operations and processes, procurement, or master data systems in an enterprise environment Hands-on experience owning master data or planning attribute governance, including the definitions, parameters, and sourcing rules that forecasting, replenishment, and purchasing depend on Working knowledge of planning and procurement mechanics spanning demand and supply planning, forecast and replenishment logic, inventory and item lifecycle, purchase order flow, and EDI or system-to-system integration Experience defining and enforcing change control, testing, or data-quality standards adopted by teams outside the role's direct control, and holding those teams to committed outcomes Technical fluency to own requirements in a systems and data context, including data models, integration contracts, and metric definitions, with the ability to effectively analyze complex data across multiple programs and translate it into actionable outcomes for teams Able to clearly explain technical problems with data and analysis, provide detailed feedback and solutions, and experience sharing technical knowledge and best practices with cross-functional partners Ability to operate independently and influence technical design outcomes in cross-functional settings, within and across teams, prioritizing across multiple customer groups including regional planners, demand planning, lifecycle, warehouse operations, order management, Finance, and incoming program owners without authority over any of them Practitioner knowledge of enterprise IT hardware supply chain or employee technology provisioning at global scale Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with excess and obsolete inventory monitoring, functional shelf-life policy, or fleet refresh and redeployment economics Hands-on experience with an advanced planning system implementation or migration, from the business rather than the vendor side Experience standing up a planning or procurement model for a new or 0-1 business and then retiring the exception into standard practice Experience building a self-service reporting or data-access layer that measurably reduced ad hoc request volume Experience defining AI or agentic use cases in an operational environment, and adhering to responsible AI practices including risk assessment, fairness evaluation, and quality and accuracy reviews Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Combined technical and business background, blending data and systems fluency with ROI reasoning and change management Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)